Cai Caixia, Zhang Jiayao, Zhong Fuli, Hai Han
Department of Electrical Engineering, Shanghai Maritime University, Shanghai 201306, China.
School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Sensors (Basel). 2024 Oct 8;24(19):6478. doi: 10.3390/s24196478.
Introducing collaborative relay and simultaneous wireless information and power transfer (SWIPT) techniques into a cognitive wireless network, named the SWIPT-enabled cognitive relay network (CRN), is considered a promising approach to deal with insufficiency and the low utilization of spectrum resources, as well as the node's energy-constrained issues in wireless networks. In this paper, to improve the network spectrum efficiency (SE) and energy efficiency (EE) of the SWIPT-enabled CRN, we design an energy-efficient adaptive bidirectional transmission strategy. To be specific, we first select an energy-constrained best relay node with the consideration of signal-to-noise ratio and global channel gain to achieve a better bidirectional relay transmission (BRT). At the same time, we let the energy-constrained best relay node transmit a signal with the SWIPT technique, which can solve the node's energy-constrained issue and improve the network EE. Then, with the selected energy-constrained best relay node, we design a total transmit power threshold (TTPT) determining algorithm to find the TTPT, which lets the total transmission rate of the BRT be equal to the bidirectional direct transmission (BDT). Based on this TTPT, we further design an adaptive bidirectional transmission strategy and let the network achieve adaptive transmission between the BRT and BDT to obtain a higher network SE. Furthermore, to further achieve the energy-efficient transmission of the adaptive bidirectional transmission strategy, we optimize the nodes' power under the requirement of primary users' interference threshold and obtain the analytical expressions of the optimal power. Simulation results show that the transmission rate, the outage probability, and the EE of the designed energy-efficient adaptive bidirectional transmission strategy in the SWIPT-enabled CRN are, respectively, 3.01, 0.07, and 3.10 times that of the non-collaborative transmission, which show the effectiveness of our designed transmission strategy.
将协作中继和同时无线信息与能量传输(SWIPT)技术引入认知无线网络,即启用SWIPT的认知中继网络(CRN),被认为是解决无线网络中频谱资源不足、利用率低以及节点能量受限问题的一种有前途的方法。在本文中,为了提高启用SWIPT的CRN的网络频谱效率(SE)和能量效率(EE),我们设计了一种节能自适应双向传输策略。具体而言,我们首先考虑信噪比和全局信道增益选择一个能量受限的最佳中继节点,以实现更好的双向中继传输(BRT)。同时,我们让能量受限的最佳中继节点采用SWIPT技术传输信号,这可以解决节点能量受限问题并提高网络EE。然后,利用选定的能量受限最佳中继节点,我们设计了一种总发射功率阈值(TTPT)确定算法来找到TTPT,使BRT的总传输速率等于双向直接传输(BDT)。基于此TTPT,我们进一步设计了一种自适应双向传输策略,让网络在BRT和BDT之间实现自适应传输,以获得更高的网络SE。此外,为了进一步实现自适应双向传输策略的节能传输,我们在主用户干扰阈值的要求下优化节点功率,并获得最优功率的解析表达式。仿真结果表明,在启用SWIPT的CRN中,所设计的节能自适应双向传输策略的传输速率、中断概率和EE分别是非协作传输的3.01倍、0.07倍和3.10倍,这表明了我们所设计传输策略的有效性。